Hexaware Technologies has appointed Raghu Mocherla to lead its Artificial Intelligence and Cyber-Physical Systems (CPS) initiatives, signaling a sharper strategic focus on next-generation digital capabilities. The move comes as enterprises accelerate investments in AI-driven automation, intelligent platforms and secure, connected systems that bridge the physical and digital worlds. Mocherla’s mandate includes scaling innovation, deepening client impact and integrating AI across industry verticals. With extensive global experience in technology leadership, he is expected to strengthen Hexaware’s competitive positioning amid intensifying demand for advanced engineering, data-led decision-making and resilient digital infrastructure.
A Strategic Leadership Move
Hexaware Technologies has strengthened its senior leadership bench with the appointment of Raghu Mocherla to head its Artificial Intelligence and Cyber-Physical Systems (CPS) practice. The decision reflects the company’s intent to place AI-led transformation and intelligent engineering at the core of its growth strategy, as clients increasingly seek technology partners capable of delivering measurable business outcomes.
The role positions Mocherla at the intersection of innovation, execution and enterprise-scale adoption, areas that are rapidly redefining the technology services landscape.
Mandate: Scaling AI and CPS Capabilities
In his new capacity, Mocherla will be responsible for shaping Hexaware’s AI roadmap and expanding its CPS offerings, which integrate software, hardware and data into intelligent, connected ecosystems. These systems underpin critical applications across manufacturing, healthcare, automotive and smart infrastructure.
His remit includes accelerating productization, embedding AI across service lines and driving co-innovation with global clients. The focus, executives say, will be on practical, scalable solutions rather than experimental deployments.
Experience Anchored in Digital Transformation
Mocherla brings decades of experience in enterprise technology, having led large-scale digital transformation programs and advanced engineering initiatives across global markets. Known for combining technical depth with commercial insight, he has played a key role in translating emerging technologies into business value.
At Hexaware, this background is expected to help bridge strategy and execution—an increasingly critical capability as AI adoption shifts from pilot projects to enterprise-wide implementations.
Why AI and CPS Matter Now
The appointment comes at a time when AI and CPS are converging to redefine how organizations operate. From predictive maintenance and autonomous systems to intelligent supply chains and smart cities, the integration of AI with physical systems is creating new efficiencies and revenue models.
For technology service providers, this shift demands deep domain expertise, robust security frameworks and the ability to manage complexity at scale—areas Hexaware aims to strengthen under Mocherla’s leadership.
Implications for Hexaware’s Growth Trajectory
By elevating AI and CPS to a dedicated leadership role, Hexaware is signaling long-term commitment to high-value digital engineering services. Analysts view the move as aligned with broader industry trends, where differentiation increasingly depends on intellectual property, platforms and advanced analytics rather than traditional IT outsourcing.
The appointment also enhances Hexaware’s appeal to clients seeking partners capable of navigating rapid technological change while maintaining operational resilience.
Conclusion
Raghu Mocherla’s appointment marks a significant step in Hexaware’s evolution as an AI-first, innovation-driven technology services company. As enterprises double down on intelligent systems and automation, leadership focused on AI and cyber-physical integration will be central to delivering sustainable value. For Hexaware, the move underscores a clear strategic message: the future of digital transformation lies in marrying intelligence with engineering precision, at scale.
Comments